Uses of Class
net.finmath.montecarlo.automaticdifferentiation.backward.alternative.RandomVariableAAD
Packages that use RandomVariableAAD
Package
Description
Provides alternative implementation of backward automatic differentiation.
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Uses of RandomVariableAAD in net.finmath.montecarlo.automaticdifferentiation.backward.alternative
Methods in net.finmath.montecarlo.automaticdifferentiation.backward.alternative that return RandomVariableAADModifier and TypeMethodDescriptionstatic RandomVariableAADRandomVariableAAD.constructNewAADRandomVariable(double value) static RandomVariableAADRandomVariableAAD.constructNewAADRandomVariable(double time, double[] realisations) static RandomVariableAADRandomVariableAAD.constructNewAADRandomVariable(RandomVariable randomVariable) static RandomVariableAADRandomVariableAAD.constructNewAADRandomVariable(RandomVariable randomVariable, int[] parentIndices, net.finmath.montecarlo.automaticdifferentiation.backward.alternative.RandomVariableAAD.OperatorType parentOperator, ArrayList<Integer> childrenIndices, boolean isConstant)